metadata
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_German_dataset
results: []
speecht5_finetuned_German_dataset
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4241
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 125
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5004 | 8.4567 | 500 | 0.4634 |
| 0.475 | 16.9133 | 1000 | 0.4414 |
| 0.4581 | 25.3700 | 1500 | 0.4318 |
| 0.4439 | 33.8266 | 2000 | 0.4268 |
| 0.4446 | 42.2833 | 2500 | 0.4266 |
| 0.4377 | 50.7400 | 3000 | 0.4288 |
| 0.4343 | 59.1966 | 3500 | 0.4296 |
| 0.4372 | 67.6533 | 4000 | 0.4282 |
| 0.4405 | 76.1099 | 4500 | 0.4282 |
| 0.4218 | 84.5666 | 5000 | 0.4241 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1